📣 For anyone interested in vector search for applications such as RAG, you may find this library related to our NeurIPS-2024 paper useful:
LoRANN – Approximate nearest neighbor (ANN) search using reduced-rank regression
• Lightweight C++ library with Python bindings
• Speed matching SOTA but with tiny memory footprint
• Optimized for embeddings
• GPU support
[#]NeurIPS2024
https://github.com/ejaasaari/lorann
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The paper contains extensive empirical evaluations demonstrating state-of-the-art performance:
Jääsaari, E., Hyvönen, V., & Roos, T. (2024). LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search. Advances in Neural Information Processing Systems 37 (NeurIPS-2024).
https://arxiv.org/abs/2410.18926
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